Ontology highlight
ABSTRACT: Background
Growing evidence suggests that severe acute COVID-19 illness increases the risk of long COVID (also known as post-COVID-19 condition). However, few studies have examined associations between acute symptoms and long COVID onset.Objective
This study aimed to examine associations between acute COVID-19 symptom profiles and long COVID prevalence using a population-based sample.Methods
We used a dual mode (phone and web-based) population-based probability survey of adults with polymerase chain reaction-confirmed SARS-CoV-2 between June 2020 and May 2022 in the Michigan Disease Surveillance System to examine (1) how acute COVID-19 symptoms cluster together using latent class analysis, (2) sociodemographic and clinical predictors of symptom clusters using multin
SUBMITTER: Hirschtick JL
PROVIDER: S-EPMC11460306 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature